Analytics Engineer at Tavus

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should have over 5 years of experience in analytics engineering, data engineering, or similar roles. Expertise in SQL, Python, and cloud infrastructure, particularly AWS, is required. Hands-on experience with Metabase, Orb, Salesforce, Snowflake, and ETL tools is necessary. Strong statistical and data science skills, including experimentation, modeling, forecasting, and ML workflows, are essential. A builder's mindset focused on scalability, reusability, and iteration speed, along with intellectual curiosity, resourcefulness, and a bias for action, are critical. Experience with Salesforce, Orb, and Stripe data is strongly preferred, and experience using AI in workflows is a bonus.

Responsibilities

The Analytics Engineer will own the full data lifecycle, including designing, building, and maintaining reliable ETL/ELT pipelines. They will architect resilient dbt models and schemas to serve as the trusted source of truth. Responsibilities include shaping the modern data stack by evolving tools, infrastructure, and architecture. They will partner with Leadership, growth, and GTM teams to build datasets and models that unlock insights and product features. The role involves establishing best practices for data validation, governance, documentation, and metric definitions to improve quality and discoverability. Additionally, they will create intuitive data products and tools to enable self-service analytics for non-technical teams and experiment with emerging AI/ML and data tools to shape the future of data at Tavus.

Skills

ETL

ELT

Data Modeling

Data Pipelines

SQL

Data Analysis

Data Visualization

Tavus

AI-driven video personalization platform for marketing

About Tavus

Tavus offers a video personalization platform that uses artificial intelligence to create customized videos for each customer. The platform takes a single recorded video and generates numerous versions, each tailored with unique voice variables to enhance customer loyalty and encourage repeat purchases. It caters to businesses of all sizes, recognizing the growing need for personalized content in digital marketing. Tavus stands out by enabling the auto-generation of hundreds or even millions of personalized videos, allowing businesses to scale their marketing efforts while maintaining quality interactions. The company likely operates on a subscription or usage-based pricing model, providing various plans to suit different needs. The main goal of Tavus is to help businesses build personal connections with their audience at scale, allowing them to focus on creativity and strategic initiatives.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$23.4MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

11-50Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Flexible Work Hours

Risks

Emerging competition from AI video startups could dilute Tavus's market share.

Ethical concerns over deepfake capabilities may impact Tavus's operations.

Data privacy demands challenge Tavus's handling of sensitive customer information.

Differentiation

Tavus offers the world's fastest digital twin solution for real-time video conversations.

Their platform auto-generates millions of personalized videos from a single recording.

Tavus's AI avatar models create immersive digital experiences akin to face-to-face interactions.

Upsides

Tavus raised $18 million in Series A funding, boosting their growth potential.

The platform supports asynchronous communication, aligning with business trends.

Growing demand for AI-driven video personalization enhances Tavus's market position.

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